Harmehak Singh Khangura

WORK HISTORY

EDUCATION

ABOUT HARMEHAK SINGH KHANGURA

I build AI systems that move beyond demos and actually work in production.My work focuses on designing reliable, low-hallucination AI agents and LLM systems that integrate real data, tools, and workflows to solve meaningful problems. I work end-to-end across the entire lifecycle of AI systems - from problem definition and architecture to deployment, monitoring, and iteration with real users.Technically, I specialize in LLM agents, retrieval-augmented generation (RAG), Model Context Protocol (MCP), and cloud-native ML infrastructure. I have built systems that integrate external tools, vector databases, APIs, and orchestration pipelines to enable AI systems that reason, retrieve knowledge, and take actions reliably.Beyond engineering, I care deeply about how AI products create real impact. My background includes leadership experience representing more than graduate students at the University of Waterloo, along with a specialization in Business Leadership along with a Master’s in Electrical and Computer Engineering. This combination allows me to bridge engineering depth with product thinking, aligning technical systems with user needs and organizational priorities.Some of the AI systems I have built include:• Autonomous research agents that gather and structure knowledge from the web• RAG-based incident response platforms that identify root causes and recommend solutions• AI agent benchmarks for nutrition and meal-planning workflows• Multimodal AI systems capable of controlled image generation and transformationI’m particularly interested in building AI platforms and agentic systems that augment human decision-making rather than replace it.Currently exploring opportunities where I can help design and scale production AI systems, AI platforms, and agentic workflows in environments that value both technical depth and product ownership.